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ORCID27th AIED 2026: Seoul, South Korea - Part III
- Emmanuel G. Blanchard, Guanliang Chen
, Min Chi, Seiji Isotani:
Artificial Intelligence in Education - 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part III. Lecture Notes in Computer Science 16583, Springer 2027, ISBN 978-3-032-29759-4 - Iris Delikoura, Pantelis M. Papadopoulos, Pan Hui:
Agnoagentia: The Illusion of Agency in AI-Assisted Learning. 1-9 - Cunling Bian, Saisai Ye, Weigang Lu:
Do Instructional Behaviors Generalize Across Disciplines? an Empirical Study with Fine-Tuned Multimodal LLMs. 10-18 - Jian Xu, Wangda Zhu:
From Black-Box Generation to Pedagogically Controllable Creation: A Text-to-Image Interactive System in Design Education. 19-26 - Stefania Zourlidou, Shokooh Ebri, Tai Le Quy, Frank Hopfgartner:
Scaffolding-First Constraint Design for LLM Tutors in Data-Science Problem Solving. 27-35 - Conrad Borchers, Jiayi Zhang, Ashish Gurung:
Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding. 36-45 - Jiayi Wang, Ruiwei Xiao, Xinying Hou, John C. Stamper:
Enabling Multi-agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design. 46-56 - Jay Pande, Wookhee Min, Randall Spain, Vikram Kumaran, James C. Lester:
Multi-label Collaborative Dialogue Act Recognition for Adaptive Team Training Environments. 57-65 - Naiming Liu, Richard G. Baraniuk, Shashank Sonkar:
Circuit Complexity of Hierarchical Knowledge Tracing. 66-74 - Ji Yoon Jung, Ummugul Bezirhan, Matthias von Davier:
Beyond the Gold Standard: Reliability Estimation of Human and GenAI Scoring. 75-83 - Xiaojing Duan, Frederick Nwanganga, Chaoli Wang:
CODE-GEN: A RAG-Based Agentic AI System for Multiple-choice Question Generation. 84-92 - Atsushi Shimada, Yuma Miyazaki, Saiki Hirotaka:
Content-Grounded Learning Behavior Analysis for Contextualized Feedback. 93-102 - Qianru Lyu, Conrad Borchers, Meng Xia, Karen Xiao, Paulo Carvalho, Kenneth R. Koedinger, Vincent Aleven:
Evaluating a Data-Driven Redesign Process for Intelligent Tutoring Systems. 103-112 - Wangda Zhu, Guang Chen, Yin Nicole Yang:
Time-Window ONA: Model the Impact of Utterances in Ordered Network Analysis. 113-121 - Yuxuan Chen, Chenyan Zhao, Jacob Levine, Kangyu Feng, Max Fowler, Mariana Silva:
On Generating and Validating Erroneous Examples in CS1 Using LLMs. 122-131 - Nam Tuan Ly, Hung Tuan Nguyen, Thanh-Nghia Truong, Masamitsu Ito, Masaki Nakagawa:
Contrastive Network-Based Similarity for Zero-Shot Automatic Scoring of Very Short Handwritten Answers. 132-140 - Indronil Bhattacharjee, Christabel Wayllace:
MAML-KT: Addressing Cold Start Problem in Knowledge Tracing for New Students via Few-Shot Model-Agnostic Meta Learning. 141-149 - Junbo Koh, Minsun Cho, SunYoung Keum:
Peer and Tutor in One: A Productive Failure-Based Architecture for Multi-role Conversational Agents in Physics Learning. 150-158 - Zekun Huang, Shuyan Chen, Yiwen Chen, Xun Zhou, Wei Xu:
EduArt-Bench: A Benchmark and Lightweight Scoring Calibration for K-12 Art Education. 159-167 - Tomoki Aburatani, Yuki Hayashi, Kazuhisa Seta:
Conceptualization of Thinking Activities-Specific Metacognitive Knowledge Ontology. 168-177 - Nathikan Yodthapa, Thanapong Intharah, Sahan Bulathwela:
Mix and Match: Context Pairing for Scalable Topic-Controlled Educational Summarisation. 178-187 - Blazenka Divjak, Petra Vondra, Darko Grabar, Barbi Svetec, Josipa Badari:
Study Program Curriculum Development with AI. 188-197 - Abdolali Faraji, Mohammadreza Molavi, Zohreh Rasoulkhani, MohammadReza Tavakoli, Gábor Kismihók:
Cross-Dataset Bloom Question Classification: Supervised Models and Prompted LLMs. 198-207 - Shlok Sand, Chaitanya Shah, Vasudeva Varma:
Decoding Latent Reasoning: Mechanistic Interpretability of Chain of Continuous Thought with Sparse Autoencoders. 208-216 - Jie Gao, Adam Kenneth Dubé:
Personalizing Mathematical Game-Based Learning for Children: A Preliminary Study. 217-225 - Elena Malnatsky, Shenghui Wang, Kuhu Sinha, Koen V. Hindriks, Mike E. U. Ligthart:
A Hybrid Human-AI Content Generation Framework for Safe and Personalized Dialogic Learning with Children. 226-235 - S. Thomas Christie, Matthew Zent, Markus Hauru, Anna N. Rafferty, Simon Woodhead:
Likelihood-Based Diagnosis with Generative Models: Confidence-Aware Measurement from Student Writing. 236-244 - Badmavasan Kirouchenassamy, Chloé Conrad, Maeva Somny, Léo Nebel:
Delegating Educational Tasks to LLMs: A Content Analysis of Evaluation Approaches. 245-253 - Chen Hu, Hui-Chun Hung, Chih-Hao Hsu, Shu-I Fang, Chen-Chung Liu, Chia-Hui Chang, Ying-Tien Wu:
An ORID-Structured GenAI Reading Companion Integrating Structured Book Chat and Virtual Labs for Science Reading. 254-261 - Alessio Ferrato, Carla Limongelli, Daniele Schicchi, Davide Taibi:
Large Language Models for Automated Bloom's Taxonomy Classification in Computer Science Assessment. 262-270 - Ying Zhang, Ningxi Cheng, Yizhu Gao, Hongmei Li, Lehong Shi, Nicholas Young, Geng Yuan, Xiaoming Zhai:
A Framework for Human-AI Q-Matrix Refinement: A NeuralCDM Evaluation. 271-278 - Dhriti Krishnan, Jaromír Savelka:
MCQ Difficulty Prediction via Modeling Learner Heterogeneity Using Data-Driven Cognitive Profiling. 279-288 - Valentina Scorza, Giacomo Cassano, Nicoletta Di Blas:
Can Large Language Models Learn to Grade Like Teachers? A Few-Shot Study on Open-Ended Assessment. 289-297 - Jennifer Kleiman, Yizhu Gao, Xin Xia, Zhaoji Wang, Zipei Zhu, Jongchan Park, Xiaoming Zhai:
ArguAgent: AI-Supported Real-Time Grouping for Productive Argumentation in STEM Classrooms. 298-305 - Bill Dong, Jessica Liebowitz:
Minimizing Data Exposure in Higher Education LLM Applications: Evaluating the Model Context Protocol (MCP) for Preserving Privacy in Academic Advising. 306-314 - Jiachen Gong, Anshula Bali, Ishrat Ahmed, Michelle P. Banawan, Tracy Arner, Danielle S. McNamara:
Re-imagine Knowledge Tracing with Student Agency in a Generative AI Language Tutor. 315-324 - Raylan Santos, Cristian Cechinel, Ig Ibert Bittencourt, Emanuel Marques Queiroga, Thales Vieira:
From Predictive Models to Actionable Recommendations: A Survey of Counterfactual Approaches in Student Dropout. 325-333 - Arne Bewersdorff, Nejla Yuruk, Xiaoming Zhai:
Simulating Validity: Modal Decoupling in MLLM Generated Feedback on Science Drawings. 334-341 - Luyang Fang, Yingchuan Zhang, Jongchan Park, Zhaoji Wang, Ping Ma, Xiaoming Zhai:
Confidence-Aware Automated Assessment of Student-Drawn Scientific Models. 342-350 - Matheus Valentim, Max Fowler:
Exploring Question Isomorphism Through Different Numerical Representations. 351-360 - Xinyi He, Cixiao Wang, Feng Ji:
A Generator-Aligner Pipeline for LLM-Based Situational Judgment Test Generation. 361-369 - Fanjie Li, Madison Lee Mason, Daniel T. Levin, Alyssa Friend Wise:
When Can We Trust AI Coding of Student-Generated Text? A Committee-Based Approach to Diagnosing Agreement and Uncertainty at Scale. 370-379 - Kyosuke Takami, Masahiko Haruno:
From Rule-Based to LLM-Based Agents: A Calibrated Simulation Framework for Classroom Social Networks. 380-388 - Debarshi Nath, Yash Desai, Ramkumar Rajendran, Dragan Gasevic:
Making Advanced Temporal Visualizations Accessible to Educators Using Generative AI. 389-397 - Salima Lamsiyah:
FairDetect: Training-Time Fairness for AI-Generated Text Detection via Perplexity-Adaptive Focal Loss. 398-406 - Partha Sarathi Purkayastha:
Reliability as a Teammate: Budgeted Verifier-in-the-Loop (BVIL) Policies for Reliable LLM Tutoring Actions. 407-416 - Ryosuke Nagai, Kyohei Atarashi, Koh Takeuchi, Jill-Jênn Vie, Hisashi Kashima:
Estimating Learners' Skill Acquisition Without Temporal Information. 417-426 - Conrad Borchers, Valdemar Svábenský, Sandesh K. Kafle, Kevin K. Tang, Jan Vykopal:
Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success? 427-442 - Hyungwoo Song, Kieun Park, Bongwon Suh:
From Exploration to Creation: How Teachers Orchestrate AI-Supported Learning in History Classrooms. 443-458 - Piret Luik:
Explaining, Solving, or Generating? Functional Differences in Students' AI Use in a University Database Course. 459-474 - Mehmet Arif Demirtas, Sungjin Nam, Gabrielle Griffin:
Leveraging Human-AI Collaboration for a Passage-Based Question Authoring Tool. 475-489 - Eryka Probierz, Anita I. Galuszka, Tomasz Grzejszczak, Adam Galuszka:
Automating Supportive Psychological Processes: How Source Attribution Shapes Perceived Empathy, Working Alliance, and Acceptability of a Supportive Conversational Agent. 490-504 - Soufiane Jhilal, Eleonora Pasqua, Caterina Marchesi, Riccardo Corradi, Martina Galletti:
Tailoring AI-Driven Reading Scaffolds to the Distinct Needs of Neurodiverse Learners. 505-520 - Khaoula Otmani, Anna Bodonhelyi, Babette Bühler, Enkelejda Kasneci:
Should AI Ask First? Investigating the Effects of Proactive vs Reactive AI Mentoring in Self-directed Learning. 521-535 - Anna Radtke, Lenka Schnaubert:
Uncertain AI - Better AI? Effects of Uncertainty Indicators in Collaborative Learning with a Human Peer or an Artificial Intelligence. 536-551 - Katie Bainbridge, Jessica Vitale, Candace A. Walkington:
Using LLMs to Score Mathematics Lessons for Instructional Quality with the UTOP. 552-561 - Bradford W. Mott, Jessica Vandenberg, Srijita Chakraburty, Anne T. Ottenbreit-Leftwich, Emma Braaten, Cindy E. Hmelo-Silver, Amy Hutchison, Krista D. Glazewski, James C. Lester:
Making AI Planning Visible: Narrative-Centered Goal-Directed AI Reasoning to Foster AI Literacy. 562-576 - Suqing Liu, Runlong Ye, Christopher Eaton, Bogdan Simion, Michael Liut:
A Comparative Study of Student Perspectives on Technical Writing Feedback Quality: Evaluating LLMs, SLMs, and Humans in Computer Science Topics. 577-592 - Tomohiro Nagashima, Shintaro Sato, Mirella Hladký, Niklas Scholz, Lisa Siegrist:
Teachers' Perspectives on Decision-Making in AI-Supported Classrooms: A Cross-Cultural Study of Germany and Japan. 593-607 - Monlin Monica Ko, Chelsea Chandler, Sierra Rose, Brooklyn Cline, Emily Watts, Jason G. Reitman, Peter W. Foltz, Sidney K. D'Mello:
AI Partners that Support Productive Uncertainty Within "Jigsaw" Activities During Small Group Collaborative Learning in Classrooms. 608-622 - Karan Taneja, Anjali Singh, Ashok K. Goel:
Impact of Multimodal and Conversational AI on Learning Outcomes and Experience. 623-638 - Zifeng Liu, Anupom Mondol, Xinyue Jiao, Jie Chao, Linlin Li, Wanli Xing:
From Examples to Rules? Exploring Inductive Reverse Engineering and Deductive Few-Shot Coding via LLMs for Qualitative Data Analysis. 639-653
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